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Markers and Pagination

Some methods return more data than can efficiently fit into one response. When there are more results than contained, the response includes a marker field. You can use this to retrieve more pages of data across multiple calls. In each request, pass the marker value from the previous response to resume from the point where you left off. If the marker is omitted from a response, then you have reached the end of the data set.

The format of the marker field is intentionally undefined. Each server can define a marker field as desired, so it may take the form of a string, a nested object, or another type. Different servers, and different methods provided by the same server, can have different marker definitions. Each marker is ephemeral, and may not work as expected after 10 minutes.

  1. Python
  2. JavaScript
from xrpl.clients import JsonRpcClient
from xrpl.models.requests import LedgerData

# Create a client to connect to the network.
client = JsonRpcClient("https://xrplcluster.com/")

# Query the most recently validated ledger for info.
ledger = LedgerData(ledger_index="validated")
ledger_data = client.request(ledger).result
ledger_data_index = ledger_data["ledger_index"]

# Create a function to run on each API call.
def printLedgerResult():
    print(ledger_data)

# Execute function at least once before checking for markers.
while True:
    printLedgerResult()
    if "marker" not in ledger_data:
        break
    
    # Specify the same ledger and add the marker to continue querying.
    ledger_marker = LedgerData(ledger_index=ledger_data_index, marker=ledger_data["marker"])
    ledger_data = client.request(ledger_marker).result